In today s digital landscape, emerging technologies transform organizational recruitment strategies and practices. From AI and machine learning to blockchain and virtual reality, these innovations streamline hiring processes, enhance candidate experiences, and enable data-driven decision-making. As employee competition increases, companies must leverage these tools to improve current strategies, reducing time-to-hire, improving the quality of hires, and fostering inclusive recruitment practices. This shift redefines traditional hiring models, emphasizing hiring personalization and effective technological integration. Emerging Technologies for Recruitment Strategy and Practice explores how emerging technologies reshape recruitment strategies by automating processes, enhancing candidate engagement, and enabling data-driven talent acquisition. It examines the practical implications of tools like AI, predictive analytics, and digital platforms on hiring outcomes, workforce diversity, and recruitment effectiveness. This book covers topics such as deep learning, hiring practices, and sentiment analysis, and is a useful resource for business owners, engineers, academicians, researchers, and data scientists.
Edited by:
Mohamed Badouch, Mehdi Boutaounte Imprint: Business Science Reference Country of Publication: United States Dimensions:
Height: 254mm,
Width: 178mm,
Spine: 18mm
Weight: 712g ISBN:9798337365169 Pages: 305 Publication Date:07 August 2025 Audience:
College/higher education
,
Professional and scholarly
,
Primary
,
Undergraduate
Format:Hardback Publisher's Status: Active